Staff Data Engineer, Data Warehouse

Pivotal Health

Staff Data Engineer building data pipelines and warehouse infrastructure for healthcare reimbursement. Collaborating with software engineers and stakeholders to optimize data usage and quality.

Posted 6/12/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $200,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization.
Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation.
Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance.
Ensure data quality and trust. Implement validation, reconciliation, monitoring, and alerting processes across critical datasets.
Support clinical data integration initiatives. Help incorporate new clinical data sources into the warehouse ecosystem.
Optimize warehouse performance. Improve query efficiency, storage utilization, and processing costs as data volumes grow.
Partner with stakeholders on data requirements. Translate business questions into durable data solutions and trusted datasets.
Improve operational excellence. Develop tooling and processes that increase reliability and reduce manual intervention.
Mentor data engineers and analysts. Share best practices and elevate technical standards across the data organization.

Requirements

What you’ll need

8+ years of experience building production data pipelines and warehouse solutions.
Deep expertise in SQL and modern data transformation frameworks and Python.
Experience working with large-scale analytical databases and cloud data platforms.
Strong understanding of data modeling, ETL/ELT design, and data lifecycle management.
Experience supporting business-critical reporting or analytical workloads.
Proven ability to improve data reliability and operational maturity.
Comfortable navigating ambiguity and helping define solutions where requirements are still emerging.
Strong ownership mindset with a focus on building durable systems rather than one-off solutions.

Benefits

Comp & perks

Competitive compensation, including equity
Full health, dental, and vision coverage
Retirement savings plan through 401(k)
Flexible time off
Opportunities for company-wide connection and events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipeline developmentSQLPythondata transformation frameworksdata modelingETLELTdata lifecycle managementdata qualitydata integration

Soft Skills

leadershipmentoringproblem-solvingownership mindsetcommunicationcollaborationadaptabilityoperational excellenceattention to detailstakeholder engagement